File: t_KPermutationsDistribution_std.expout

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Distribution  KPermutationsDistribution(k = 5, n = 12)
Elliptical =  False
Continuous =  False
oneRealization= [0,5,3,6,8]
oneSample first= [2,6,1,0,8]  last= [5,11,1,2,10]
mean= [5.3888,5.4518,5.5082,5.4548,5.5287]
covariance= 5x5
[[ 11.8336   -1.13537  -1.06199  -1.10364  -0.960355 ]
 [ -1.13537  12.0819   -1.07121  -1.27841  -0.968764 ]
 [ -1.06199  -1.07121  11.8851   -1.10004  -0.885674 ]
 [ -1.10364  -1.27841  -1.10004  11.9077   -1.29858  ]
 [ -0.960355 -0.968764 -0.885674 -1.29858  11.9054   ]]
Point=  [4,4,4,4,4]
log pdf= 0.0
pdf     = 1.0
cdf=0.001263
ccdf=0.998737
quantile= [11,11,11,11,11]
cdf(quantile)= 1.0
mean= [5.5,5.5,5.5,5.5,5.5]
covariance= 5x5
[[ 11.9167  -1.08333 -1.08333 -1.08333 -1.08333 ]
 [ -1.08333 11.9167  -1.08333 -1.08333 -1.08333 ]
 [ -1.08333 -1.08333 11.9167  -1.08333 -1.08333 ]
 [ -1.08333 -1.08333 -1.08333 11.9167  -1.08333 ]
 [ -1.08333 -1.08333 -1.08333 -1.08333 11.9167  ]]
parameters= [[n : 12],[n : 12],[n : 12],[n : 12],[n : 12],[k : 5, n : 12]]